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基于星载激光雷达的150米城市建筑高度全球产品。

A global product of 150-m urban building height based on spaceborne lidar.

作者信息

Ma Xiao, Zheng Guang, Xu Chi, Moskal L Monika, Gong Peng, Guo Qinghua, Huang Huabing, Li Xuecao, Liang Xinlian, Pang Yong, Wang Cheng, Xie Huan, Yu Bailang, Zhao Bo, Zhou Yuyu

机构信息

School of Life Sciences, Nanjing University, Nanjing, 210023, China.

International Institute for Earth System Sciences, Nanjing University, Nanjing, 210023, China.

出版信息

Sci Data. 2024 Dec 18;11(1):1387. doi: 10.1038/s41597-024-04237-5.

Abstract

Urban building height, as a fundamental 3D urban structural feature, has far-reaching applications. However, creating readily available datasets of recent urban building heights with fine spatial resolutions and global coverage remains a challenging task. Here, we provide a 150-m global urban building heights dataset around 2020 by combining the spaceborne lidar (Global Ecosystem Dynamics Investigation, GEDI), multi-sourced data (Landsat-8, Sentinel-2, and Sentinel-1), and topographic data. The validation results revealed that the GEDI-estimated building height samples were effective compared to the reference data (Pearson's r = 0.81, RMSE = 3.58 m). The mapping product also demonstrated good performance, as indicated by its strong correlation with the reference data (Pearson's r = 0.71, RMSE = 4.73 m). Compared with the currently existing datasets, it holds the ability to provide a spatial resolution (150 m) with a great level of inherent details about the spatial heterogeneity and flexibility of updating using the GEDI samples as inputs. This product will boost future urban studies across many fields, including environmental, ecological, and social sciences.

摘要

城市建筑高度作为一种基本的三维城市结构特征,具有广泛的应用。然而,创建具有精细空间分辨率和全球覆盖范围的近期城市建筑高度现成数据集仍然是一项具有挑战性的任务。在此,我们通过结合星载激光雷达(全球生态系统动力学调查,GEDI)、多源数据(陆地卫星8号、哨兵2号和哨兵1号)以及地形数据,提供了一个2020年左右的150米全球城市建筑高度数据集。验证结果表明,与参考数据相比,GEDI估算的建筑高度样本是有效的(皮尔逊相关系数r = 0.81,均方根误差RMSE = 3.58米)。该制图产品也表现出良好的性能,与参考数据的强相关性表明了这一点(皮尔逊相关系数r = 0.71,均方根误差RMSE = 4.73米)。与目前现有的数据集相比,它能够提供150米的空间分辨率,并具有关于空间异质性的大量固有细节以及使用GEDI样本作为输入进行更新的灵活性。该产品将推动包括环境、生态和社会科学在内的许多领域的未来城市研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28c5/11655538/aa5b6ef9932a/41597_2024_4237_Fig1_HTML.jpg

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